Evidence map›Paper›PMID 39683920›Full record

ArticleMolecules (Basel, Switzerland)2024

Development and Application of a Robust Imine-Based Covalent Organic Framework for Stir Bar Sorptive Extraction of Estrogens in Environmental Water.

Jianing Sun, Xixi Lian, Lianzhi Wang, Zhengchao Duan

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Jianing SunSchool of Chemistry and Environmental Engineering, Hubei Minzu University, Enshi 445000, China.
Xixi LianSchool of Chemistry and Environmental Engineering, Hubei Minzu University, Enshi 445000, China.
Lianzhi WangSchool of Chemistry and Environmental Engineering, Hubei Minzu University, Enshi 445000, China.ORCID 0000-0002-1451-9810
Zhengchao DuanSchool of Chemistry and Environmental Engineering, Hubei Minzu University, Enshi 445000, China.ORCID 0000-0002-5763-2514

Funding

Foundation of Hubei Minzu University JB22006National Natural Science Foundation of China 21267009, 21262011
6 · The paper itself

Abstract

A covalent organic framework (COF) based on imine was synthesized using 2,5-dihexoxyterephthalaldehyde (DHT) and 1,3,5-tris(4-aminophenyl) benzene (TAPB) as starting materials. The TAPB-DHT-COF exhibited satisfactory chemical stability, making it a promising adsorbing material for stir bar sorptive extraction (SBSE) of four estrogens, including estrone (E1), β-estradiol (E2), hexestrol (HES), and mestranol (MeEE2), in ambient water samples. The extracted analytes were subsequently analyzed using a high-performance liquid chromatography-diode array detector (HPLC-DAD). A series of parameters affecting the SBSE process, such as solution pH, ionic strength, extraction time, and desorption solvent, were investigated by the controlled variable method. Under optimal conditions, the limit of detection (LODs) for the four targeted estrogens ranged from 0.06 to 0.15 µg/L, with a linear range from 0.2 to 100 µg/L. The observed enrichment factor (EF) ranged from 39 to 49, while the theoretical EF was estimated to be 50-fold. This methodology can be applied to the identification of estrogens in three environmental water samples.

Indexed as

EstrogensIminesWater Pollutants, ChemicalAdsorptionChromatography, High Pressure LiquidHydrogen-Ion ConcentrationLimit of DetectionMetal-Organic FrameworksWaterEstrogensIminesMetal-Organic FrameworksWaterWater Pollutants, Chemicalcovalent organic frameworkenvironmental water samplesestrogenshigh-performance liquid chromatographystir bar sorptive extraction

Identifiers

PMID39683920
PMCPMC11643056

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.